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31.272  Articles
1 of 3.128 pages  |  10  records  |  more records»
Wind energy is renewable energy used as an energy source for wind power plants (PLTB). The most common distribution method used to model wind speed distribution data is the Weibull distribution. The Nakagami distribution has begun to be widely used in sev... see more

In this paper, we introduce the length biased form of the Nakagami distribution known as length biased Nakagami distribution (LBND). Some properties of this model were studied such as the moments, reliability function, and the hazard rate function. Maximu... see more

The statistical characterisation of gray level distribution of echocardiographic images is commonly done in terms of unimodal probability densities such as Rayleigh, Gamma, Weibull, Nakagami, and Lognormal. Amongst these distributions, the Gamma density i... see more

An output signal from a multi-section wireless relay communication system is equal to the product of the signal envelopes from individual sections. In this paper, a three-sections relay system is considered in the presence of Nakagami-m fading at each sec... see more

In a Cognitive Radio Network, the performance of the secondary users depends on the co-channel interference generated by the primary and the secondary transmitters. Therefore the characterization of aggregate interference (AI) in such type of networks is ... see more

In this article, the differential entropy and B-entropy for Nakagami-mu distribution is derived. In addition, the differential entropy and B-entropy for some selected versions of these distributions are obtained. Further, numerical comparisons are assesse... see more

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Control of transmitted power is crucial for the successful operation of multi-user wireless channels communications. There are practical situations in which the transmitted power cannot be adjusted by feedback information; hence, only forward transmit pow... see more

A very important distribution called Nakagami distribution is taken into consideration. Reliability measures R(t)=Pr(X>t) and P=Pr(X>Y) are considered. Point as well as interval procedures are obtained for estimation of parameters. Uniformly Minimum... see more

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